Akademik Veri Yönetim Sistemi
The Thirteenth International Conference on Wireless and Mobile Communications, Nice, Fransa, 23 - 27 Temmuz 2017, ss.113-118, (Tam Metin Bildiri)
This paper is concerned with a challenging problem of channel estimation and equalization for orthogonal frequency division multiplexing (OFDM) systems in underwater acoustic (UWA) communications in the presence of Rician fading. The ambient noise is modeled as a correlated Gaussain noise. We combine the matching pursuit (MP), for the Doppler shift and the channel path delays estimation, along with the maximum
a posteriori (MAP) estimation for the channel path gains and call the resulting algorithm MP-MAP algorithm. As a prior
distribution for the sparse complex-valued channel gains, we choose a Rician distribution with unknown means and variances. They are in turn estimated by the maximum likelihood technique. After the channel equalization, detection of data is implemented at the receiver. Computer simulations show that the UWA channel is estimated very effectively and the proposed algorithm exhibits excellent symbol error rate and channel estimation performance.